JAMIU ALIMI

• Led the successful implementation of Informatica, enhancing data integration and management capabilities.
• Identified and addressed data quality issues in collaboration with business leaders and technical support teams.
• Collaborated with Visualization and Analytics IT teams in designing robust data quality measures and metrics.

Spearheaded development and implementation of data governance policies and procedures, resulting in 20% improvement in data accuracy.

• Work with Data Governance Manager during onboarding new applications under governance .
• Maintain repository of Data Governance policies, procedures and standards with appropriate version control.
• Conducted regular data quality assessments and collaborated with cross-functional teams to address and resolve data issues promptly.
• Established and maintained metadata repositories, ensuring comprehensive documentation of data definitions, sources, and lineage.
• Collaborated with IT and business stakeholders to define and enforce data ownership and stewardship responsibilities.
• Conducted training sessions for staff members on data governance principles and best practices.

• Roche Diagnostic Data Dictionary Management:
• Created and managed a comprehensive repository of systems, objects, fields, forms, and workflows, defining their function and dependencies to ensure clean and accurate data.
• Implemented and maintained the Roche data dictionary, serving as a centralized reference for data-related information.
• Master Data Management:
• Owned, understood, and governed the master data management process, defining and enforcing rules for key data elements within systems.
• Collaborated with business teams to ensure appropriate ownership and involvement in changes to key data elements.
• Data Standards and Taxonomies:
• Applied industry data standards to optimize data definitions and taxonomies, ensuring alignment with best practices.
• Ensured clarity in field values, calculations, and reporting to improve internal understanding and enhance customer interaction.
• Workflow Management and Automation:
• Configured attribute workflow management using Roche’s master data management toolset.
• Identified and implemented opportunities for system automation, reducing manual data capture and improving overall efficiency.
• Collaboration and Validation:
• Partnered with business functions to create, document, and maintain validation rules for automation.
• Collaborated with business process SMEs across departments to develop mechanisms and rule sets to validate the accuracy of data.
• Data Governance Policies and Compliance:
• Created Ocean Roche’s Data Governance policies and procedures, educating the cooperative on their importance.
• Ensured compliance with Data Governance policies and procedures, conducting audits of master and transactional data to maintain service level compliance and identify gaps

• Collecting, analyzing, mining and leveraging data stored in data warehouse SQL Server, and relational databases utilizing Python Compiling detailed reports using data reporting tools such as Business Objects/Tableau and providing insights on based on their findings
• Document the business process and identify area improvement
• Perform quality assurance on reporting to ensure output is accurate and within control parameters
• Provide reporting support for regulatory and compliance activities
• Produce monthly, quarterly, and ad hoc reports, perform segmentation analysis
• Updating, modifying, developing and automating new reports using Business Objects, Excel, Tableau, Powers, SAS
• Communicate model related information such as risk, performance and results to senior management and other business partners.

• Analyzed various healthcare & clinical data, extracted valuable insights that identified trends and key behavioral influencing factors that impacted patient's diseases, high patient's billing cost & Longer admission duration
• Led the development of a relational database for the company to store student's enrollments data
• Gathered data by writing SQL queries to combine tables, disparate sources like Google Analytics & Excel for analysis purposes
• Executed various end to end data analytics project from data extraction to applying various descriptive statistics methods and developing analytics dashboard solutions to automate reporting and monitor KPI metrics towards goal projections
• Built a sales forecasting Model in Excel and Predictive model to forecast client's call volume to help reduce the rate of overflown calls Achievements
• Transformed raw data into BI solution by developing holistic interactive dashboard solutions that helped reduce reporting time
• Developed data driven strategies that helped uncover top influencing factors of healthcare diseases
• Leveraged data & analytics to identify lucrative opportunities to identify key drivers of healthcare diseases and how demographic & behavioral factors impacts diseases
• Led the successful implementation of SQL database and automated reporting process by integrating the database into Power BI software
• Built a predictive model to forecast call volume to make an informed decision, Analyzing Data Using Panda
• Using python(NumPy , Matplotlib, Jupyter Notebook )for exploratory of data

• Conducted data analysis to identify trends and anomalies, producing actionable insights for process improvements.
• Ensure proper documentation and monitoring inventory levels,ensuring the efficient delivery of goods
• collecting and analyzing testing data to identify patterns and areas for improvement.
• Contributed to the creation of dashboards and reports that provided insights into testing outcomes and defect trends.
• Automate the process to track the defect of the product and identify the area of wastage ,it reduces the waste by 85%